Evidence map›Paper›PMID 27430417›Full record

ArticleObesity (Silver Spring, Md.)2016

Voxel-based morphometry reveals brain gray matter volume changes in successful dieters.

Robyn A Honea, Amanda N Szabo-Reed, Rebecca J Lepping, Rodrigo Perea, Florence Breslin, Laura E Martin, William M Brooks, Joseph E Donnelly, Cary R Savage

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Cognitive Training: Associations and Implications for Weight Management and Translational Research.Translational journal of the American College of Sports Medicine · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Robyn A HoneaDepartment of Neurology, University of Kansas School of Medicine, Kansas City, Kansas, USA.
Amanda N Szabo-ReedCardiovascular Research Institute, University of Kansas Medical Center, Kansas City, Kansas, USA.
Rebecca J LeppingDepartment of Psychiatry, University of Kansas School of Medicine, Kansas City, Kansas, USA.ORCID 0000-0001-9269-051X
Rodrigo PereaDepartment of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Florence BreslinCenter for Health Behavior Neuroscience, University of Kansas Medical Center, Kansas City, Kansas, USA.
Laura E MartinHoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
William M BrooksDepartment of Neurology, University of Kansas School of Medicine, Kansas City, Kansas, USA.
Joseph E DonnellyCardiovascular Research Institute, University of Kansas Medical Center, Kansas City, Kansas, USA.
Cary R SavageCenter for Health Behavior Neuroscience, University of Kansas Medical Center, Kansas City, Kansas, USA.

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI RAJAN, KUMAR B. · 1991 to 2020
$28.3M
University of Kansas Alzheimer's Disease Core CentersP30AG035982 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BROOKS, WILLIAM M. · 2011 to 2020
$16.6M
Heartland Institute for Clinical and Translational ResearchUL1TR000001 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$13.0M
Brain function predictors and outcome of weight loss and weight loss maintenanceR01DK080090 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SAVAGE, CARY R · 2008 to 2010
$1.4M
The Role of Genetic Variation in Alzheimer's DiseaseK01AG035042 · NIA · UNIVERSITY OF KANSAS MEDICAL CENTER · PI HONEA, ROBYN A · 2011 to 2015
$626k
Prevention of weight regain (POWeR) and cognitive funtionF32DK103493 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SZABO-REED, AMANDA N. · 2014 to 2016
$172k
NCATS NIH HHS UL1 TR000001NIA NIH HHS K01 AG035042NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG035982NIDDK NIH HHS F32 DK103493NIDDK NIH HHS R01 DK080090
6 · The paper itself

Abstract

objectiveTo compare regional brain volume predictors of percent weight loss (WL) in dieters with obesity (DwO) and in the same participants categorized as "successful" (≥7% WL) or "unsuccessful" dieters (<7% WL).

methodsDwO (n = 72) and participants with healthy weight (n = 22) completed a structural MRI at baseline and 3 months. All DwO participants were enrolled in a 12-week program consisting of a reduced calorie diet, increased physical activity, and behavioral modification. SPM8-based voxel-based morphometry processing streams were used for measurements of regional gray (GMV) and white matter volume and longitudinal changes in volume. Correlations between WL and baseline brain volume and change in brain volume, as well as differences between groups, were then tested.

results%WL was positively correlated with baseline GMV in right parahippocampal and orbitofrontal gyri in DwO. Successful dieters showed greater GMV loss in the left precentral gyrus and the insula compared with unsuccessful dieters. A negative correlation was found between %WL and GMV change from baseline in the left prefrontal regions.

conclusionsFindings illustrate that WL is related to volumetric changes in brain areas previously linked to interoception and food motivation.

Indexed as

Weight LossAdultBehavior TherapyBrainCaloric RestrictionDiet, ReducingExerciseFemaleFrontal LobeGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedObesityWhite Matter

Identifiers

PMID27430417
PMCPMC5003724

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.